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Representing Inferences and their Lexicalization

2021-12-14 19:23:43
David McDonald, James Pustejovsky
arXiv_CL
       
Abstract

We have recently begun a project to develop a more effective and efficient way to marshal inferences from background knowledge to facilitate deep natural language understanding. The meaning of a word is taken to be the entities, predications, presuppositions, and potential inferences that it adds to an ongoing situation. As words compose, the minimal model in the situation evolves to limit and direct inference. At this point we have developed our computational architecture and implemented it on real text. Our focus has been on proving the feasibility of our design.

Abstract (translated)

URL

https://arxiv.org/abs/2112.07711

PDF

https://arxiv.org/pdf/2112.07711.pdf

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